Data Engineer
Description
Who we are
Faye is the first-ever digital, consumer-centric travel insurance for Americans with a product redefining travel coverage and care, taking it from a forgettable add-on to a must-have advantage that enhances the entire trip experience. Faye’s whole-trip protection, coupled with its proprietary technology, enables 24/7 immediate assistance, claims processing, and reimbursements anywhere in the world, setting a new standard and over-delivering in an industry synonymous with doing the opposite.
What we're looking for
As a Data Engineer at Faye, you will play a pivotal role in ensuring high-quality data is available throughout the organization, by developing and maintaining the services, tools and processes that extract data from various sources and systems and bring them into a centralized data warehouse.
Responsibilities
- Work with the Data team to design and build a scalable and secure Data Warehouse to support our growing data needs.
- Create robust and flexible data pipelines (ETL and ELT) that can support various data use cases and analytical needs.
- Improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
- Collaborate closely with stakeholders to understand business requirements and translate them into robust data processes.
- Plan and implement data tools that effectively serve both internal teams and external stakeholders.
Qualifications
- Proven experience (4+ years) as a Data Engineer or similar role
- Hands-on experience in developing end-to-end ETL/ELT processes.
- Expertise in data modeling techniques and proficiency in translating business requirements into efficient data structures.
- Excellent problem-solving skills and ability to troubleshoot complex issues.
- Strong SQL skills and experience working with Snowflake or similar products.
- Hands-on experience with cloud based data-lake and data-warehouse with technologies similar-to/including: AWS, Snowflake, Airflow, DBT, postgresql, Mixpanel, Tableau - an advantage.
- Experience with B2C commerce will be viewed favorably
